code: def result(self, query, request_env, mindsdb_env, session):
      database = request_env["database"]
      project_name = request_env["database"]
  
      if database == "config":
          # return nothing
          return {
              "cursor": {
                  "id": Int64(0),
                  "ns": f"{database}.$cmd.{query['find']}",
                  "firstBatch": [],
              },
              "ok": 1,
          }
  
      # system queries
      elif query["find"] == "system.version":
          # For studio3t
          data = [
              {"_id": "featureCompatibilityVersion", "version": "3.6"}
          ]
          cursor = {
              "id": Int64(0),
              "ns": f"system.version.$cmd.{query['find']}",
              "firstBatch": data,
          }
          return {"cursor": cursor, "ok": 1}
  
      elif query["find"] == "ml_engines":
          ast_query = Show("ml_engines")
  
      else:
          ast_query = find_to_ast(query, database)
  
      # add _id for objects
      table_name = None
      obj_idx = {}
      if (
          isinstance(ast_query, Select)
          and ast_query.from_table is not None
      ):
          if isinstance(ast_query.from_table, Identifier):
              table_name = ast_query.from_table.parts[-1].lower()
  
              if (
                  table_name == "models"
                  or table_name == "models_versions"
              ):
                  models = mindsdb_env["model_controller"].get_models(
                      ml_handler_name=None, project_name=project_name
                  )
  
                  for model in models:
                      obj_idx[model["name"]] = model["id"]
  
                  # is select from model without where
                  if table_name in obj_idx and ast_query.where is None:
                      # replace query to describe model
                      ast_query = Describe(ast_query.from_table)
              elif table_name == "jobs":
                  jobs_controller = JobsController()
                  for job in jobs_controller.get_list(project_name):
                      obj_idx[job["name"]] = job["id"]
  
      data = run_sql_command(request_env, ast_query)
  
      if table_name == "models" or table_name == "models_versions":
          # for models and models_versions _id is:
          #   - first 20 bytes is version
          #   - next bytes is model id
  
          for row in data:
              model_id = obj_idx.get(row.get("NAME"))
              if model_id is not None:
                  obj_id = model_id << 20
  
                  if table_name == "models_versions":
                      obj_id += row.get("VERSION", 0)
  
                  row["_id"] = helpers.int_to_objectid(obj_id)
      elif table_name == "jobs":
          for row in data:
              obj_id = obj_idx.get(row.get("NAME"))
              if obj_id is not None:
                  row["_id"] = helpers.int_to_objectid(obj_id)
  
      db = mindsdb_env["config"]["api"]["mongodb"]["database"]
  
      cursor = {
          "id": Int64(0),
          "ns": f"{db}.$cmd.{query['find']}",
          "firstBatch": data,
      }
      return {"cursor": cursor, "ok": 1}
  
file_path: mindsdb/mindsdb/api/mongo/responders/find.py
imports: from bson.int64 import Int64
  from mindsdb_sql.parser.ast import Join, Select, Identifier, Describe, Show, Constant
  import mindsdb.api.mongo.functions
  from mindsdb.api.mongo.classes import Responder
  from mindsdb.api.mongo.utilities.mongodb_ast import MongoToAst
  from mindsdb.interfaces.jobs.jobs_controller import JobsController
  from mindsdb.api.mongo.classes.query_sql import run_sql_command
label_desc: Use image node_id 1 for calling the Responce obj's underlying member method code with example usage: obj.result(query, request_env, mindsdb_env, session) and returns: dict, dict, dict